LEVERAGING ARTIFICIAL INTELLIGENCE TECHNOLOGIES IN DIGITAL MARKETING STRATEGIES TO ENHANCE COMPETITIVENESS IN ALGERIAN ENTERPRISES: A CASE STUDY OF VENUS COMPANY

Laidouci Ahmed

doi:10.31435/ijite.4(52).2025.4395

Laidouci Ahmed Dr., Faculty of Economic, Commercial and Management Sciences, University Blida2, Algeria

DOI: https://doi.org/10.31435/ijite.4(52).2025.4395

Keywords: Artificial Intelligence, Digital Marketing, Competitiveness, Algerian Companies, Venus Company, Data Analytics

Abstract

This study explores the role of Artificial Intelligence (AI) in enhancing the competitiveness of Algerian companies through its integration into digital marketing strategies. The research focuses on the case of Venus Company, which has adopted several AI-based tools such as data analytics, predictive modeling, and personalized advertising systems. Using a descriptive-analytical methodology supported by quantitative data, the study reveals that AI technologies significantly improve marketing performance indicators, including customer engagement, cost efficiency, and market adaptability. The findings demonstrate that AI enhances decision-making precision, facilitates customer relationship management, and strengthens the company’s competitive positioning in an increasingly digitalized market. The research concludes with recommendations for Algerian enterprises to invest strategically in AI-driven marketing innovations and develop internal competencies capable of leveraging these technologies for sustainable competitive advantage.

References

Barney, J. (1991). Firm resources and sustained competitive advantage. Journal of Management, 17(1), 99–120. https://doi.org/10.1177/014920639101700108

Benhabib, A. (2023). Digital transformation and competitiveness in North African SMEs: The role of AI technologies. African Economic Review, 19(3), 77–95.

Chatterjee, S., Rana, N., & Sharma, A. (2021). Artificial intelligence and marketing performance: Evidence from emerging markets. Journal of Business Research, 124, 620–633. https://doi.org/10.1016/j.jbusres.2020.11.019

Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. https://doi.org/10.2307/249008

Davenport, T., Guha, A., Grewal, D., & Bressgott, T. (2020). How artificial intelligence will change marketing management. Journal of the Academy of Marketing Science, 48(1), 24–42. https://doi.org/10.1007/s11747-019-00696-0

Laidoussi, A. (2024). AI-based digital marketing and competitiveness in Algerian enterprises. Algerian Journal of Economic Studies, 11(2), 45–67.

Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2021). Multivariate data analysis (8th ed.). Pearson.

Huang, M.-H., & Rust, R. T. (2021). Artificial intelligence in service. Journal of Service Research, 24(1), 3–14. https://doi.org/10.1177/1094670520902266

Kotler, P., Kartajaya, H., & Setiawan, I. (2021). Marketing 5.0: Technology for humanity. Wiley.

Mikalef, P., Krogstie, J., & Pappas, I. O. (2022). Artificial intelligence capability and firm performance: A resource-based perspective. Information & Management, 59(4), 103597. https://doi.org/10.1016/j.im.2021.103597

Porter, M. E. (1985). Competitive advantage: Creating and sustaining superior performance. Free Press.

Russell, S., & Norvig, P. (2021). Artificial intelligence: A modern approach (4th ed.). Pearson.

Shankar, V. (2022). How artificial intelligence (AI) is reshaping marketing. Journal of the Academy of Marketing Science, 50(5), 930–948. https://doi.org/10.1007/s11747-021-00821-3

Teece, D. J. (2018). Dynamic capabilities and organizational agility: Risk, uncertainty, and strategy in the innovation economy. California Management Review, 58(4), 13–35. https://doi.org/10.1177/0008125618790208

World Bank. (2023). Digital transformation and innovation in the MENA region. Washington, DC: World Bank Publications.